Research On Reactive Power Compensation Configuration With Distributed Generation Unit

With the continuous consumption of fossil energy and the worsening of the environment,the contradiction between resources and the environment has become increasingly severe.As a new energy generation mode,distributed power sources have been widely used in distribution networks.As the penetration rate of distributed power sources continues to increase,it has a non-negligible impact on the voltage distribution and network losses of the distribution network.The original single-source power supply is transformed into multi-source power supply,resulting in the original distribution network calculation model and analysis The method is no longer applicable.The reactive power compensation has significant effects in improving the power quality of the distribution network,reducing the system loss and power cost,etc.Therefore,it is of important practical significance to study the optimization of the reactive power compensation configuration of the distribution network with distributed power sources.This paper studies the configuration of reactive power compensation in distribution networks with distributed power generation.In this paper,the reactive power second precise moment method is used to divide the reactive power balance area of the distribution network with distributed power generation,and a mathematical model for the optimization of reactive power configuration of the distribution network with distributed power generation is established.For the partitioned power network,the objective function is the reactive power compensation investment and maintenance cost,the active power loss cost of the distribution line,and the penalty cost of voltage crossing the boundary.Considering the constraints of the power flow equation,the node voltage and the reactive power compensation capacity,a method is proposed.A partitioned reactive power compensation optimization method based on improved quantum-behaved particle swarm optimization(Improved QPSO,IQPSO).This method can obviously reduce the loss of the distribution network,improve the qualified rate of voltage quality,reduce the investment cost,and has better economic efficiency.The algorithm(IQPSO)is improved for the premature phenomenon of the parameter optimization process of the traditional quantum particle swarm optimization and the defect that it is easy to fall into the local extreme value in the later stage of the optimization.First,in the early stage of optimization,the nonlinearly decreasing shrinkage-expansion coefficient is used to replace the linearly decreasing coefficient changes in traditional quantum particle swarms;in the later stage of optimization,each particle in the population is disturbed according to two different random probabilities to avoid algorithm Falling into the local optimum;secondly,using five test functions to compare and analyze the optimization results and calculation accuracy before and after the improvement,which verifies the superiority of the IQPSO algorithm in the optimization accuracy and convergence speed.Finally,taking the IEEE33-node and 69-node distribution network as the research object,based on the use of reactive power quadratic precise moment method for partitioning,the QPSO algorithm and IQPSO algorithm are used to calculate the node position of the reactive power compensation device in each partition.And compensated capacity.Comparative analysis shows that the use of IQPSO algorithm can effectively improve the calculation efficiency.